SlideShare una empresa de Scribd logo
1 de 16
Tim Kennedy
Program Specialist
Overview
 Wisconsin Land Survey Network Pilot
  Project
 Project goals and objectives
 Results to date
 Realizations
 Next steps
Wisconsin Land Survey Network

A Statewide
(geospatial
dataset)
Representation
of the PLSS
Goals & Objectives
 Improved dataset of statewide PLSS data
 Improved coordinates in participating counties
 Integration of Landnet where local data
  unavailable
 Replicable data model for statewide data
  integration
 Broad data access
 Sustainable
Pilot Project
  Study Area
 Varied status of
  remonumentation
 Abundance of
  diverse meander
  features
 Non-PLSS areas
 Data availability
Coordinate Accuracy
 Number of Landnet section corner points in
  study area: 6,184


 Number of county section corner points in
  study area: 5,491
Coordinate Accuracy
Mean distance between Landnet and county
corner points: 8.33   m

Maximum distance: 124.95      m

Minimum distance: 0.05    m
Expectations vs. Experience
      Expectation                Experience
Automated data ingestion     Resource intensive
    County x, y data          Limits usefulness
   Pin cushion effect           Very minimal
 Unique corner point i.d.    Resource intensive
  Automated indexing        Many datasets include
      assignment                  indexing
Next Steps
1.   Townships
2.   Quarter-sections
3.   Quarter-quarter sections
4.   Half-quarter sections?
5.   Half quarter-quarter sections?
6.   Primary display point determination
7.   Lines
8.   Polygons
Project Expecations
Phase I
   – Pilot study using nine counties
   – Solicit partners and support
   – Finalize data model and data integration procedures
   – Geodatabase of study counties PLSS data
Phase II
   – Statewide coverage (non-PLSS areas – long lots, metes &
     bounds, etc.)
   – Distribution network (web-mapping
     application, download)
PLSS Finder




              http://maps.sco.wisc.edu/PLSSFinder/
Project Team
                     Howard Veregin
                    State Cartographer
                      608-262-6852
                    veregin@wisc.edu

                    Brenda Hemstead
                      Data Services
                       Professional
                      608-263-4371
                   hemstead@wisc.edu

                     Timothy Kennedy
                     Program Specialist
                       608-890-3793
www.sco.wisc.edu   ttkennedy@wisc.edu

Más contenido relacionado

Destacado (6)

Locate In Wisconsin Application
Locate In Wisconsin ApplicationLocate In Wisconsin Application
Locate In Wisconsin Application
 
2010 Federal Perspective
2010 Federal Perspective2010 Federal Perspective
2010 Federal Perspective
 
11D - MAPPING MEASURES OF RELIABILITY ALONGSIDE DATA FROM THE AMERICAN COMMUN...
11D - MAPPING MEASURES OF RELIABILITY ALONGSIDE DATA FROM THE AMERICAN COMMUN...11D - MAPPING MEASURES OF RELIABILITY ALONGSIDE DATA FROM THE AMERICAN COMMUN...
11D - MAPPING MEASURES OF RELIABILITY ALONGSIDE DATA FROM THE AMERICAN COMMUN...
 
Dor
DorDor
Dor
 
2010 Presnted to the Wisconsin Towns Association
2010 Presnted to the Wisconsin Towns Association2010 Presnted to the Wisconsin Towns Association
2010 Presnted to the Wisconsin Towns Association
 
Redistricting
RedistrictingRedistricting
Redistricting
 

Similar a SCO Pilot Project Efforts to Integrate County PLSS Datasets - Timothy Kennedy

Human/Social Sciences/Cultural & Behavioral Dynamics and Advanced Analytics
Human/Social Sciences/Cultural & Behavioral Dynamics and Advanced AnalyticsHuman/Social Sciences/Cultural & Behavioral Dynamics and Advanced Analytics
Human/Social Sciences/Cultural & Behavioral Dynamics and Advanced AnalyticsNC Military Business Center
 
Montana State, Research Networking and the Outcomes from the First National R...
Montana State, Research Networking and the Outcomes from the First National R...Montana State, Research Networking and the Outcomes from the First National R...
Montana State, Research Networking and the Outcomes from the First National R...Jerry Sheehan
 
Karnataka Geospatial Experience FME World Tour 2017 India
Karnataka Geospatial Experience FME World Tour 2017 IndiaKarnataka Geospatial Experience FME World Tour 2017 India
Karnataka Geospatial Experience FME World Tour 2017 IndiaRaghavendran S
 
National Geospatial Map
National Geospatial MapNational Geospatial Map
National Geospatial MapVince123
 
GeorgeTown CCPE Data Science Capstone Final Presentation, Cohort 10, The Data...
GeorgeTown CCPE Data Science Capstone Final Presentation, Cohort 10, The Data...GeorgeTown CCPE Data Science Capstone Final Presentation, Cohort 10, The Data...
GeorgeTown CCPE Data Science Capstone Final Presentation, Cohort 10, The Data...Anthony Sanchez
 
Geographic Information Systems At Washington College Nov 2009
Geographic Information Systems At Washington College Nov 2009Geographic Information Systems At Washington College Nov 2009
Geographic Information Systems At Washington College Nov 2009Washington College GIS Gis
 
Big Data Analytics and Advanced Computer Networking Scenarios
Big Data Analytics and Advanced Computer Networking ScenariosBig Data Analytics and Advanced Computer Networking Scenarios
Big Data Analytics and Advanced Computer Networking ScenariosStenio Fernandes
 
Pratikkumar Desai
Pratikkumar DesaiPratikkumar Desai
Pratikkumar Desaidpratik85
 
Understanding Human Mobility
Understanding Human MobilityUnderstanding Human Mobility
Understanding Human MobilityWidy Widyawan
 
Next generation data delivery for NSW geoscientific data
Next generation data delivery for NSW geoscientific data Next generation data delivery for NSW geoscientific data
Next generation data delivery for NSW geoscientific data Trisha Moriarty
 
Data-efficient machine learning for geometry prediction in cold spray additiv...
Data-efficient machine learning for geometry prediction in cold spray additiv...Data-efficient machine learning for geometry prediction in cold spray additiv...
Data-efficient machine learning for geometry prediction in cold spray additiv...Daiki Ikeuchi
 
Location Information on GIS
Location Information on GIS Location Information on GIS
Location Information on GIS Ashik Ekbal khan
 
ANALYTIC QUERIES OVER GEOSPATIAL TIME-SERIES DATA USING DISTRIBUTED HASH TABLES
ANALYTIC QUERIES OVER GEOSPATIAL TIME-SERIES DATA USING DISTRIBUTED HASH TABLESANALYTIC QUERIES OVER GEOSPATIAL TIME-SERIES DATA USING DISTRIBUTED HASH TABLES
ANALYTIC QUERIES OVER GEOSPATIAL TIME-SERIES DATA USING DISTRIBUTED HASH TABLESNexgen Technology
 
Full planning support system at your fingertips mvopc p&z_120712
Full planning support system at your fingertips mvopc p&z_120712Full planning support system at your fingertips mvopc p&z_120712
Full planning support system at your fingertips mvopc p&z_120712MVRPC
 
Xiaoxin_Resume_combined_NCL
Xiaoxin_Resume_combined_NCLXiaoxin_Resume_combined_NCL
Xiaoxin_Resume_combined_NCLXiaoxin Ren
 

Similar a SCO Pilot Project Efforts to Integrate County PLSS Datasets - Timothy Kennedy (20)

Human/Social Sciences/Cultural & Behavioral Dynamics and Advanced Analytics
Human/Social Sciences/Cultural & Behavioral Dynamics and Advanced AnalyticsHuman/Social Sciences/Cultural & Behavioral Dynamics and Advanced Analytics
Human/Social Sciences/Cultural & Behavioral Dynamics and Advanced Analytics
 
Montana State, Research Networking and the Outcomes from the First National R...
Montana State, Research Networking and the Outcomes from the First National R...Montana State, Research Networking and the Outcomes from the First National R...
Montana State, Research Networking and the Outcomes from the First National R...
 
David Cowen UW-Madison Geospatial Summit 2015
David Cowen UW-Madison Geospatial Summit 2015David Cowen UW-Madison Geospatial Summit 2015
David Cowen UW-Madison Geospatial Summit 2015
 
Karnataka Geospatial Experience FME World Tour 2017 India
Karnataka Geospatial Experience FME World Tour 2017 IndiaKarnataka Geospatial Experience FME World Tour 2017 India
Karnataka Geospatial Experience FME World Tour 2017 India
 
National Geospatial Map
National Geospatial MapNational Geospatial Map
National Geospatial Map
 
GeorgeTown CCPE Data Science Capstone Final Presentation, Cohort 10, The Data...
GeorgeTown CCPE Data Science Capstone Final Presentation, Cohort 10, The Data...GeorgeTown CCPE Data Science Capstone Final Presentation, Cohort 10, The Data...
GeorgeTown CCPE Data Science Capstone Final Presentation, Cohort 10, The Data...
 
Wisconsin SCO Virtual Data Integration
Wisconsin SCO Virtual Data IntegrationWisconsin SCO Virtual Data Integration
Wisconsin SCO Virtual Data Integration
 
Geographic Information Systems At Washington College Nov 2009
Geographic Information Systems At Washington College Nov 2009Geographic Information Systems At Washington College Nov 2009
Geographic Information Systems At Washington College Nov 2009
 
Env. mon
Env. monEnv. mon
Env. mon
 
Big Data Analytics and Advanced Computer Networking Scenarios
Big Data Analytics and Advanced Computer Networking ScenariosBig Data Analytics and Advanced Computer Networking Scenarios
Big Data Analytics and Advanced Computer Networking Scenarios
 
Pratikkumar Desai
Pratikkumar DesaiPratikkumar Desai
Pratikkumar Desai
 
Sutapa_resume
Sutapa_resumeSutapa_resume
Sutapa_resume
 
Understanding Human Mobility
Understanding Human MobilityUnderstanding Human Mobility
Understanding Human Mobility
 
Next generation data delivery for NSW geoscientific data
Next generation data delivery for NSW geoscientific data Next generation data delivery for NSW geoscientific data
Next generation data delivery for NSW geoscientific data
 
Data-efficient machine learning for geometry prediction in cold spray additiv...
Data-efficient machine learning for geometry prediction in cold spray additiv...Data-efficient machine learning for geometry prediction in cold spray additiv...
Data-efficient machine learning for geometry prediction in cold spray additiv...
 
Gis Analyst
Gis AnalystGis Analyst
Gis Analyst
 
Location Information on GIS
Location Information on GIS Location Information on GIS
Location Information on GIS
 
ANALYTIC QUERIES OVER GEOSPATIAL TIME-SERIES DATA USING DISTRIBUTED HASH TABLES
ANALYTIC QUERIES OVER GEOSPATIAL TIME-SERIES DATA USING DISTRIBUTED HASH TABLESANALYTIC QUERIES OVER GEOSPATIAL TIME-SERIES DATA USING DISTRIBUTED HASH TABLES
ANALYTIC QUERIES OVER GEOSPATIAL TIME-SERIES DATA USING DISTRIBUTED HASH TABLES
 
Full planning support system at your fingertips mvopc p&z_120712
Full planning support system at your fingertips mvopc p&z_120712Full planning support system at your fingertips mvopc p&z_120712
Full planning support system at your fingertips mvopc p&z_120712
 
Xiaoxin_Resume_combined_NCL
Xiaoxin_Resume_combined_NCLXiaoxin_Resume_combined_NCL
Xiaoxin_Resume_combined_NCL
 

Más de Wisconsin Land Information Association

Workshop using open source software for mobile data collection workshop - a...
Workshop   using open source software for mobile data collection workshop - a...Workshop   using open source software for mobile data collection workshop - a...
Workshop using open source software for mobile data collection workshop - a...Wisconsin Land Information Association
 
Mapping spatial patterns of whai finder usage to measure community outreach e...
Mapping spatial patterns of whai finder usage to measure community outreach e...Mapping spatial patterns of whai finder usage to measure community outreach e...
Mapping spatial patterns of whai finder usage to measure community outreach e...Wisconsin Land Information Association
 
Lakesheds and riverscapes extending wisconsin's hydro database with landsca...
Lakesheds and riverscapes   extending wisconsin's hydro database with landsca...Lakesheds and riverscapes   extending wisconsin's hydro database with landsca...
Lakesheds and riverscapes extending wisconsin's hydro database with landsca...Wisconsin Land Information Association
 
Lake habitat mapping with side scan sonar in nine wisconsin lakes - christine...
Lake habitat mapping with side scan sonar in nine wisconsin lakes - christine...Lake habitat mapping with side scan sonar in nine wisconsin lakes - christine...
Lake habitat mapping with side scan sonar in nine wisconsin lakes - christine...Wisconsin Land Information Association
 
Integrating sanitary televising data with utility gis data within the city of...
Integrating sanitary televising data with utility gis data within the city of...Integrating sanitary televising data with utility gis data within the city of...
Integrating sanitary televising data with utility gis data within the city of...Wisconsin Land Information Association
 
Integrating high accuracy gps with esri's arc gis for windows mobile field so...
Integrating high accuracy gps with esri's arc gis for windows mobile field so...Integrating high accuracy gps with esri's arc gis for windows mobile field so...
Integrating high accuracy gps with esri's arc gis for windows mobile field so...Wisconsin Land Information Association
 
Implementing arc gis 10.1 for the wisconsin dnr nhi portal levi felling
Implementing arc gis 10.1 for the wisconsin dnr nhi portal   levi fellingImplementing arc gis 10.1 for the wisconsin dnr nhi portal   levi felling
Implementing arc gis 10.1 for the wisconsin dnr nhi portal levi fellingWisconsin Land Information Association
 

Más de Wisconsin Land Information Association (20)

Airphoto anomilies
Airphoto anomiliesAirphoto anomilies
Airphoto anomilies
 
A wikimap of landscape values in the bad river watershed carl sack
A wikimap of landscape values in the bad river watershed   carl sackA wikimap of landscape values in the bad river watershed   carl sack
A wikimap of landscape values in the bad river watershed carl sack
 
Workshop using open source software for mobile data collection workshop - a...
Workshop   using open source software for mobile data collection workshop - a...Workshop   using open source software for mobile data collection workshop - a...
Workshop using open source software for mobile data collection workshop - a...
 
Wigicc's role in wisconsin jon schwitchtenberg
Wigicc's role in wisconsin   jon schwitchtenbergWigicc's role in wisconsin   jon schwitchtenberg
Wigicc's role in wisconsin jon schwitchtenberg
 
Wi 590 nutrient management web application lisa morrison
Wi 590 nutrient management web application   lisa morrisonWi 590 nutrient management web application   lisa morrison
Wi 590 nutrient management web application lisa morrison
 
Surveying and land records management dean roth
Surveying and land records management   dean rothSurveying and land records management   dean roth
Surveying and land records management dean roth
 
Mapping spatial patterns of whai finder usage to measure community outreach e...
Mapping spatial patterns of whai finder usage to measure community outreach e...Mapping spatial patterns of whai finder usage to measure community outreach e...
Mapping spatial patterns of whai finder usage to measure community outreach e...
 
Local gis in the statewide voter registration system sarah whitt
Local gis in the statewide voter registration system   sarah whittLocal gis in the statewide voter registration system   sarah whitt
Local gis in the statewide voter registration system sarah whitt
 
Li dar quality control a client's perspective - tyler grosshuesch
Li dar quality control   a client's perspective - tyler grosshueschLi dar quality control   a client's perspective - tyler grosshuesch
Li dar quality control a client's perspective - tyler grosshuesch
 
Li dar meets wisconsinview jc nelson
Li dar meets wisconsinview   jc nelsonLi dar meets wisconsinview   jc nelson
Li dar meets wisconsinview jc nelson
 
Lakesheds and riverscapes extending wisconsin's hydro database with landsca...
Lakesheds and riverscapes   extending wisconsin's hydro database with landsca...Lakesheds and riverscapes   extending wisconsin's hydro database with landsca...
Lakesheds and riverscapes extending wisconsin's hydro database with landsca...
 
Lake habitat mapping with side scan sonar in nine wisconsin lakes - christine...
Lake habitat mapping with side scan sonar in nine wisconsin lakes - christine...Lake habitat mapping with side scan sonar in nine wisconsin lakes - christine...
Lake habitat mapping with side scan sonar in nine wisconsin lakes - christine...
 
Integrative mapping strategies jeremy bixby
Integrative mapping strategies   jeremy bixbyIntegrative mapping strategies   jeremy bixby
Integrative mapping strategies jeremy bixby
 
Integrating sanitary televising data with utility gis data within the city of...
Integrating sanitary televising data with utility gis data within the city of...Integrating sanitary televising data with utility gis data within the city of...
Integrating sanitary televising data with utility gis data within the city of...
 
Integrating high accuracy gps with esri's arc gis for windows mobile field so...
Integrating high accuracy gps with esri's arc gis for windows mobile field so...Integrating high accuracy gps with esri's arc gis for windows mobile field so...
Integrating high accuracy gps with esri's arc gis for windows mobile field so...
 
Implementing arc gis 10.1 for the wisconsin dnr nhi portal levi felling
Implementing arc gis 10.1 for the wisconsin dnr nhi portal   levi fellingImplementing arc gis 10.1 for the wisconsin dnr nhi portal   levi felling
Implementing arc gis 10.1 for the wisconsin dnr nhi portal levi felling
 
Gis in parks and recreation the proragis website - trish nau
Gis in parks and recreation   the proragis website - trish nauGis in parks and recreation   the proragis website - trish nau
Gis in parks and recreation the proragis website - trish nau
 
Geo moose project update brian fischer
Geo moose project update   brian fischerGeo moose project update   brian fischer
Geo moose project update brian fischer
 
Elevation hydrology tools kent pena
Elevation hydrology tools   kent penaElevation hydrology tools   kent pena
Elevation hydrology tools kent pena
 
Developing mobile apps pick your poison - levi felling
Developing mobile apps   pick your poison - levi fellingDeveloping mobile apps   pick your poison - levi felling
Developing mobile apps pick your poison - levi felling
 

Último

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGSujit Pal
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 

Último (20)

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAG
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 

SCO Pilot Project Efforts to Integrate County PLSS Datasets - Timothy Kennedy

  • 2. Overview  Wisconsin Land Survey Network Pilot Project  Project goals and objectives  Results to date  Realizations  Next steps
  • 3. Wisconsin Land Survey Network A Statewide (geospatial dataset) Representation of the PLSS
  • 4. Goals & Objectives  Improved dataset of statewide PLSS data  Improved coordinates in participating counties  Integration of Landnet where local data unavailable  Replicable data model for statewide data integration  Broad data access  Sustainable
  • 5. Pilot Project Study Area  Varied status of remonumentation  Abundance of diverse meander features  Non-PLSS areas  Data availability
  • 6.
  • 7.
  • 8. Coordinate Accuracy  Number of Landnet section corner points in study area: 6,184  Number of county section corner points in study area: 5,491
  • 9. Coordinate Accuracy Mean distance between Landnet and county corner points: 8.33 m Maximum distance: 124.95 m Minimum distance: 0.05 m
  • 10.
  • 11.
  • 12. Expectations vs. Experience Expectation Experience Automated data ingestion Resource intensive County x, y data Limits usefulness Pin cushion effect Very minimal Unique corner point i.d. Resource intensive Automated indexing Many datasets include assignment indexing
  • 13. Next Steps 1. Townships 2. Quarter-sections 3. Quarter-quarter sections 4. Half-quarter sections? 5. Half quarter-quarter sections? 6. Primary display point determination 7. Lines 8. Polygons
  • 14. Project Expecations Phase I – Pilot study using nine counties – Solicit partners and support – Finalize data model and data integration procedures – Geodatabase of study counties PLSS data Phase II – Statewide coverage (non-PLSS areas – long lots, metes & bounds, etc.) – Distribution network (web-mapping application, download)
  • 15. PLSS Finder http://maps.sco.wisc.edu/PLSSFinder/
  • 16. Project Team Howard Veregin State Cartographer 608-262-6852 veregin@wisc.edu Brenda Hemstead Data Services Professional 608-263-4371 hemstead@wisc.edu Timothy Kennedy Program Specialist 608-890-3793 www.sco.wisc.edu ttkennedy@wisc.edu